# VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio   Features for Argument Mining

**Authors:** Ramon Ruiz-Dolz, Javier Iranzo-S\'anchez

arXiv: 2302.12584 · 2024-01-23

## TL;DR

This paper introduces VivesDebate-Speech, a comprehensive spoken argumentation corpus that enhances argument mining by integrating audio features, demonstrating improved performance in initial experiments and providing a valuable resource for future research.

## Contribution

The paper presents a new spoken argumentation corpus and first-of-its-kind experiments showing benefits of audio features in argument mining.

## Key findings

- Audio features improve argument mining performance
- VivesDebate-Speech is one of the most complete resources available
- Baseline results established for future research

## Abstract

In this paper, we describe VivesDebate-Speech, a corpus of spoken argumentation created to leverage audio features for argument mining tasks. The creation of this corpus represents an important contribution to the intersection of speech processing and argument mining communities, and one of the most complete publicly available resources in this topic. Moreover, we have performed a set of first-of-their-kind experiments which show an improvement when integrating audio features into the argument mining pipeline. The provided results can be used as a baseline for future research.

## Full text

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## Figures

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## References

21 references — full list in the complete paper: https://tomesphere.com/paper/2302.12584/full.md

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Source: https://tomesphere.com/paper/2302.12584